Research and Design of College English Online Teaching based on Computer Aided Instruction Resource Library

Abstract

Online education colleges or English training institutions begin to develop English courses for different devices, which can be used for learners to learn English. In these platforms of English Language Teaching (ELT), all kinds of data are produced, such as learners' grades, learning records, communication records and so on. Although the progress of database technology makes it easier to collect and store data, the explosive growth of data scale is far beyond people's comprehension, and the hidden information in these data can't be found by using traditional database administration system and previous analysis methods. In this article, a data mining (DM) algorithm of English online education platform based on deep learning (DL) is proposed. With more targeted learning plans and instructional resource recommendations. The results show that the recommendation accuracy of this algorithm is over 95% after repeated iterations. DL-based educational DM model can obtain meaningful information from massive teaching data and provide a more scientific decision-making basis for ELT managers.